Epic Fhir MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Epic Fhir as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Epic Fhir. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Epic Fhir?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Epic Fhir MCP Server
Connect Epic electronic health records to any AI agent and query clinical data through natural conversation instead of navigating complex EHR interfaces.
LlamaIndex agents combine Epic Fhir tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Patient Search — Find patients by name, date of birth, or medical record number across your Epic system
- Clinical Encounters — Review admissions, ER visits, and outpatient appointments with dates, reasons, and locations
- Lab Results & Vitals — Pull observations including blood work, vital signs, and social history with reference ranges
- Diagnoses & Conditions — List active and resolved conditions with ICD-10 codes, onset dates, and severity
- Medications & Allergies — View current prescriptions, dosage instructions, and documented allergic reactions
- Appointments & Immunizations — Check upcoming schedules and full vaccination history with lot numbers
The Epic Fhir MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Epic Fhir to LlamaIndex via MCP
Follow these steps to integrate the Epic Fhir MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Epic Fhir
Why Use LlamaIndex with the Epic Fhir MCP Server
LlamaIndex provides unique advantages when paired with Epic Fhir through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Epic Fhir tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Epic Fhir tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Epic Fhir, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Epic Fhir tools were called, what data was returned, and how it influenced the final answer
Epic Fhir + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Epic Fhir MCP Server delivers measurable value.
Hybrid search: combine Epic Fhir real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Epic Fhir to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Epic Fhir for fresh data
Analytical workflows: chain Epic Fhir queries with LlamaIndex's data connectors to build multi-source analytical reports
Epic Fhir MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Epic Fhir to LlamaIndex via MCP:
get_patient
Returns name, DOB, gender, race, ethnicity, address, phone, email, and all identifiers. Get patient details by ID
list_allergies
Includes substance, reaction type, severity, and clinical status. List allergies and intolerances
list_appointments
Includes date/time, provider, location, and status. List patient appointments
list_conditions
Includes ICD-10 codes, clinical status, verification status, onset date, and severity. List diagnoses and conditions
list_diagnostic_reports
Includes report type, results, conclusion, and performing organization. List diagnostic reports
list_encounters
Includes encounter type, period, reason, and location. List patient encounters/visits
list_immunizations
Includes vaccine type (CVX code), administration date, dose, site, and lot number. List immunizations
list_medications
Includes medication name, dosage, frequency, route, prescriber, and status. List medication requests
list_observations
Filter by category: vital-signs, laboratory, social-history. Includes values, units, reference ranges, and interpretation. List clinical observations
search_patients
Returns patient demographics including name, DOB, gender, address, and identifiers. Search patients by name, DOB, or MRN
Example Prompts for Epic Fhir in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Epic Fhir immediately.
"Find all patients named Smith born in 1985."
"Show me the latest lab results for patient e63wACU8F."
"List all active medications for this patient."
Troubleshooting Epic Fhir MCP Server with LlamaIndex
Common issues when connecting Epic Fhir to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEpic Fhir + LlamaIndex FAQ
Common questions about integrating Epic Fhir MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Epic Fhir with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Epic Fhir to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
